Ecommerce Conversion Optimization
This application area focuses on using data and automation to systematically increase online sales conversion, average order value, and margin across ecommerce stores. It spans dynamic and personalized pricing, product discovery and recommendations, merchandising automation, and large-scale content generation for product pages, ads, and on-site experiences. Rather than operating as isolated tools, these capabilities work together to remove friction from the customer journey—from search and browsing to cart and checkout—while tuning offers and experiences in real time. AI and advanced analytics enable this by continuously learning from shopper behavior, competitive signals, and operational constraints such as logistics and shipping costs. Models power dynamic pricing for thousands of SKUs, generate and optimize creative assets and copy for multiple channels, and improve product search and recommendations using richer semantic and commonsense understanding of products and queries. The result is smarter, always-on optimization of the ecommerce funnel that would be impossible to manage manually at scale.
The Problem
“You can’t manually optimize pricing, discovery, and content fast enough to stop revenue leakage”
Organizations face these key challenges:
Merchandising and pricing updates happen weekly/monthly, while competitors change prices daily and demand shifts hourly
Search and category pages feel “same for everyone,” leading to low CTR, high bounce, and weak add-to-cart rates